INFO 2020-05-30 17:06:10,862Z lrauvNc4ToNetcdf.py processResampleNc4File():994 Reading /mbari/LRAUV/tethys/missionlogs/2013/20130910_20130914/20130911T205412/201309112054_201309112308.nc4 file... INFO 2020-05-30 17:06:10,862Z lrauvNc4ToNetcdf.py processResampleNc4File():995 After copying to /tmp/201309112054_201309112308.nc4 INFO 2020-05-30 17:06:11,792Z lrauvNc4ToNetcdf.py processResampleNc4File():997 Read file /mbari/LRAUV/tethys/missionlogs/2013/20130910_20130914/20130911T205412/201309112054_201309112308.nc4 INFO 2020-05-30 17:06:11,804Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2013-09-11 20:54:00 and after 2013-09-11 23:08:00: [12554 12555 12556 12557 12558 12559 12560 12561 12562 12563 12564 12565 12566 12567 12568 12569 12570 12571 12572 12573 12574 12575 12576 12577 12578 12579 12580 12581 12582 12583 12584 12585 12586 12587 12588] INFO 2020-05-30 17:06:11,808Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:16 2013'] INFO 2020-05-30 17:06:11,813Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09] for variable latitude INFO 2020-05-30 17:06:11,976Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2013-09-11 20:54:00 and after 2013-09-11 23:08:00: [12554 12555 12556 12557 12558 12559 12560 12561 12562 12563 12564 12565 12566 12567 12568 12569 12570 12571 12572 12573 12574 12575 12576 12577 12578 12579 12580 12581 12582 12583 12584 12585 12586 12587 12588] INFO 2020-05-30 17:06:11,981Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:16 2013'] INFO 2020-05-30 17:06:11,986Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09] for variable longitude INFO 2020-05-30 17:06:12,147Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2013-09-11 20:54:00 and after 2013-09-11 23:08:00: [12954 12955 12956 12957 12958 12959 12960 12961 12962 12963 12964 12965 12966 12967 12968 12969 12970 12971 12972 12973 12974 12975 12976 12977 12978 12979 12980 12981 12982 12983 12984 12985 12986 12987 12988 12989] INFO 2020-05-30 17:06:12,152Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:05 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:16 2013', 'Wed Sep 11 23:08:16 2013'] INFO 2020-05-30 17:06:12,157Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09] for variable depth INFO 2020-05-30 17:06:12,324Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2013-09-11 20:54:00 and after 2013-09-11 23:08:00: [12952 12953 12954 12955 12956 12957 12958 12959 12960 12961 12962 12963 12964 12965 12966 12967 12968 12969 12970 12971 12972 12973 12974 12975 12976 12977 12978 12979 12980 12981 12982 12983 12984 12985 12986 12987] INFO 2020-05-30 17:06:12,328Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:16 2013'] INFO 2020-05-30 17:06:12,333Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09] for variable time INFO 2020-05-30 17:06:12,500Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2013-09-11 20:54:00 and after 2013-09-11 23:08:00: [12554 12555 12556 12557 12558 12559 12560 12561 12562 12563 12564 12565 12566 12567 12568 12569 12570 12571 12572 12573 12574 12575 12576 12577 12578 12579 12580 12581 12582 12583 12584 12585 12586 12587 12588] INFO 2020-05-30 17:06:12,504Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:16 2013'] INFO 2020-05-30 17:06:12,509Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09] for variable latitude INFO 2020-05-30 17:06:12,670Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2013-09-11 20:54:00 and after 2013-09-11 23:08:00: [12554 12555 12556 12557 12558 12559 12560 12561 12562 12563 12564 12565 12566 12567 12568 12569 12570 12571 12572 12573 12574 12575 12576 12577 12578 12579 12580 12581 12582 12583 12584 12585 12586 12587 12588] INFO 2020-05-30 17:06:12,674Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:16 2013'] INFO 2020-05-30 17:06:12,679Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09] for variable longitude INFO 2020-05-30 17:06:12,839Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2013-09-11 20:54:00 and after 2013-09-11 23:08:00: [12954 12955 12956 12957 12958 12959 12960 12961 12962 12963 12964 12965 12966 12967 12968 12969 12970 12971 12972 12973 12974 12975 12976 12977 12978 12979 12980 12981 12982 12983 12984 12985 12986 12987 12988 12989] INFO 2020-05-30 17:06:12,844Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:05 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:16 2013', 'Wed Sep 11 23:08:16 2013'] INFO 2020-05-30 17:06:12,849Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09] for variable depth INFO 2020-05-30 17:06:13,014Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2013-09-11 20:54:00 and after 2013-09-11 23:08:00: [12952 12953 12954 12955 12956 12957 12958 12959 12960 12961 12962 12963 12964 12965 12966 12967 12968 12969 12970 12971 12972 12973 12974 12975 12976 12977 12978 12979 12980 12981 12982 12983 12984 12985 12986 12987] INFO 2020-05-30 17:06:13,019Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:16 2013'] INFO 2020-05-30 17:06:13,023Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09] for variable time INFO 2020-05-30 17:06:13,189Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2013-09-11 20:54:00 and after 2013-09-11 23:08:00: [12554 12555 12556 12557 12558 12559 12560 12561 12562 12563 12564 12565 12566 12567 12568 12569 12570 12571 12572 12573 12574 12575 12576 12577 12578 12579 12580 12581 12582 12583 12584 12585 12586 12587 12588] INFO 2020-05-30 17:06:13,193Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:16 2013'] INFO 2020-05-30 17:06:13,198Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09] for variable latitude INFO 2020-05-30 17:06:13,359Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2013-09-11 20:54:00 and after 2013-09-11 23:08:00: [12554 12555 12556 12557 12558 12559 12560 12561 12562 12563 12564 12565 12566 12567 12568 12569 12570 12571 12572 12573 12574 12575 12576 12577 12578 12579 12580 12581 12582 12583 12584 12585 12586 12587 12588] INFO 2020-05-30 17:06:13,363Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:16 2013'] INFO 2020-05-30 17:06:13,368Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09] for variable longitude INFO 2020-05-30 17:06:13,529Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2013-09-11 20:54:00 and after 2013-09-11 23:08:00: [12954 12955 12956 12957 12958 12959 12960 12961 12962 12963 12964 12965 12966 12967 12968 12969 12970 12971 12972 12973 12974 12975 12976 12977 12978 12979 12980 12981 12982 12983 12984 12985 12986 12987 12988 12989] INFO 2020-05-30 17:06:13,534Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:05 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:16 2013', 'Wed Sep 11 23:08:16 2013'] INFO 2020-05-30 17:06:13,539Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09] for variable depth INFO 2020-05-30 17:06:13,704Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2013-09-11 20:54:00 and after 2013-09-11 23:08:00: [12952 12953 12954 12955 12956 12957 12958 12959 12960 12961 12962 12963 12964 12965 12966 12967 12968 12969 12970 12971 12972 12973 12974 12975 12976 12977 12978 12979 12980 12981 12982 12983 12984 12985 12986 12987] INFO 2020-05-30 17:06:13,708Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:16 2013'] INFO 2020-05-30 17:06:13,713Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09] for variable time INFO 2020-05-30 17:06:13,878Z lrauvNc4ToNetcdf.py createSeries():240 latitude: v_t values found before 2013-09-11 20:54:00 and after 2013-09-11 23:08:00: [12554 12555 12556 12557 12558 12559 12560 12561 12562 12563 12564 12565 12566 12567 12568 12569 12570 12571 12572 12573 12574 12575 12576 12577 12578 12579 12580 12581 12582 12583 12584 12585 12586 12587 12588] INFO 2020-05-30 17:06:13,883Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:16 2013'] INFO 2020-05-30 17:06:13,888Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09] for variable latitude INFO 2020-05-30 17:06:14,049Z lrauvNc4ToNetcdf.py createSeries():240 longitude: v_t values found before 2013-09-11 20:54:00 and after 2013-09-11 23:08:00: [12554 12555 12556 12557 12558 12559 12560 12561 12562 12563 12564 12565 12566 12567 12568 12569 12570 12571 12572 12573 12574 12575 12576 12577 12578 12579 12580 12581 12582 12583 12584 12585 12586 12587 12588] INFO 2020-05-30 17:06:14,053Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:16 2013'] INFO 2020-05-30 17:06:14,058Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09] for variable longitude INFO 2020-05-30 17:06:14,219Z lrauvNc4ToNetcdf.py createSeries():240 depth: v_t values found before 2013-09-11 20:54:00 and after 2013-09-11 23:08:00: [12954 12955 12956 12957 12958 12959 12960 12961 12962 12963 12964 12965 12966 12967 12968 12969 12970 12971 12972 12973 12974 12975 12976 12977 12978 12979 12980 12981 12982 12983 12984 12985 12986 12987 12988 12989] INFO 2020-05-30 17:06:14,223Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:05 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:16 2013', 'Wed Sep 11 23:08:16 2013'] INFO 2020-05-30 17:06:14,228Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09] for variable depth INFO 2020-05-30 17:06:14,392Z lrauvNc4ToNetcdf.py createSeries():240 time: v_t values found before 2013-09-11 20:54:00 and after 2013-09-11 23:08:00: [12952 12953 12954 12955 12956 12957 12958 12959 12960 12961 12962 12963 12964 12965 12966 12967 12968 12969 12970 12971 12972 12973 12974 12975 12976 12977 12978 12979 12980 12981 12982 12983 12984 12985 12986 12987] INFO 2020-05-30 17:06:14,397Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:16 2013'] INFO 2020-05-30 17:06:14,402Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09] for variable time WARNING 2020-05-30 17:06:14,560Z lrauvNc4ToNetcdf.py processResampleNc4File():1006 Dropping from latitude repeated/decreasing values at indices: [ 7428 7429 7430 11639 11640 11964 12514] WARNING 2020-05-30 17:06:14,562Z lrauvNc4ToNetcdf.py processResampleNc4File():1006 Dropping from longitude repeated/decreasing values at indices: [ 7428 7429 7430 11639 11640 11964 12514] WARNING 2020-05-30 17:06:14,565Z lrauvNc4ToNetcdf.py processResampleNc4File():1006 Dropping from depth repeated/decreasing values at indices: [ 400 401 402 403 7829 7830 12040 12041 12365 12915] WARNING 2020-05-30 17:06:14,567Z lrauvNc4ToNetcdf.py processResampleNc4File():1006 Dropping from time repeated/decreasing values at indices: [ 398 399 400 401 7827 7828 12038 12039 12363 12913] INFO 2020-05-30 17:06:14,569Z lrauvNc4ToNetcdf.py processResampleNc4File():1010 Creating t variable of the time indexes INFO 2020-05-30 17:06:14,578Z lrauvNc4ToNetcdf.py createSeries():240 downwelling_photosynthetic_photon_flux_in_sea_water: v_t values found before 2013-09-11 20:54:00 and after 2013-09-11 23:08:00: [12952 12953 12954 12955 12956 12957 12958 12959 12960 12961 12962 12963 12964 12965 12966 12967 12968 12969 12970 12971 12972 12973 12974 12975 12976 12977 12978 12979 12980 12981 12982 12983 12984 12985 12986 12987] INFO 2020-05-30 17:06:14,579Z lrauvNc4ToNetcdf.py createSeries():241 Their times: ['Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:00 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:01 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:02 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:03 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:04 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:07 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:08 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:09 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:10 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:11 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:12 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:13 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:14 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:15 2013', 'Wed Sep 11 23:08:16 2013'] INFO 2020-05-30 17:06:14,580Z lrauvNc4ToNetcdf.py createSeries():242 Removing them: [1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894088e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894089e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09 1.37894090e+09] for variable downwelling_photosynthetic_photon_flux_in_sea_water INFO 2020-05-30 17:06:14,737Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group PAR_Licor parameter downwelling_photosynthetic_photon_flux_in_sea_water renaming to PAR INFO 2020-05-30 17:06:14,868Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group CTD_NeilBrown parameter sea_water_salinity renaming to salinity INFO 2020-05-30 17:06:14,998Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group CTD_NeilBrown parameter sea_water_temperature renaming to temperature INFO 2020-05-30 17:06:15,287Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group WetLabsBB2FL parameter mass_concentration_of_chlorophyll_in_sea_water renaming to chlorophyll INFO 2020-05-30 17:06:15,576Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group WetLabsBB2FL parameter Output470 renaming to bbp470 INFO 2020-05-30 17:06:15,863Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group WetLabsBB2FL parameter Output650 renaming to bbp650 INFO 2020-05-30 17:06:15,894Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group Aanderaa_O2 parameter mass_concentration_of_oxygen_in_sea_water renaming to oxygen INFO 2020-05-30 17:06:15,899Z lrauvNc4ToNetcdf.py processResampleNc4File():1085 Found in group ISUS parameter mole_concentration_of_nitrate_in_sea_water renaming to nitrate INFO 2020-05-30 17:06:15,900Z lrauvNc4ToNetcdf.py nudge_coords():624 /mbari/LRAUV/tethys/missionlogs/2013/20130910_20130914/20130911T205412/201309112054_201309112308.nc4 DEBUG 2020-05-30 17:06:16,068Z lrauvNc4ToNetcdf.py var_series():612 longitude: rad_to_deg = True DEBUG 2020-05-30 17:06:16,237Z lrauvNc4ToNetcdf.py var_series():612 latitude: rad_to_deg = True DEBUG 2020-05-30 17:06:16,259Z lrauvNc4ToNetcdf.py var_series():612 longitude_fix: rad_to_deg = True DEBUG 2020-05-30 17:06:16,280Z lrauvNc4ToNetcdf.py var_series():612 latitude_fix: rad_to_deg = True INFO 2020-05-30 17:06:16,280Z lrauvNc4ToNetcdf.py nudge_coords():642 seg# end_sec_diff end_lon_diff end_lat_diff len(segi) seg_min u_drift (cm/s) v_drift (cm/s) start datetime of segment INFO 2020-05-30 17:06:16,282Z lrauvNc4ToNetcdf.py nudge_coords():658 - - - 5 0.03 - - - INFO 2020-05-30 17:06:16,285Z lrauvNc4ToNetcdf.py nudge_coords():680 0: 0.363 0.0000055 0.0001007 130 1.08 12.17 17.35 2013-09-11 20:58:12.545614958 INFO 2020-05-30 17:06:16,290Z lrauvNc4ToNetcdf.py nudge_coords():680 1: 0.381 0.0000825 0.0007315 345 6.97 13.66 19.45 2013-09-11 21:05:11.140758038 INFO 2020-05-30 17:06:16,295Z lrauvNc4ToNetcdf.py nudge_coords():680 2: 0.358 0.0000000 0.0000000 1928 18.42 0.00 0.00 2013-09-11 21:23:37.028671980 INFO 2020-05-30 17:06:16,301Z lrauvNc4ToNetcdf.py nudge_coords():680 3: 0.328 0.0000000 0.0000000 304 2.29 0.00 0.00 2013-09-11 21:25:55.018431902 INFO 2020-05-30 17:06:16,306Z lrauvNc4ToNetcdf.py nudge_coords():680 4: 0.360 -0.0000077 0.0000486 174 1.32 4.79 6.80 2013-09-11 21:27:14.868206024 INFO 2020-05-30 17:06:16,311Z lrauvNc4ToNetcdf.py nudge_coords():680 5: 0.373 -0.0005458 -0.0000244 3947 26.53 -0.12 -0.17 2013-09-11 21:53:47.674390078 INFO 2020-05-30 17:06:16,316Z lrauvNc4ToNetcdf.py nudge_coords():680 6: 0.417 0.0000000 0.0000000 599 9.05 0.00 0.00 2013-09-11 22:02:51.807590961 INFO 2020-05-30 17:06:16,321Z lrauvNc4ToNetcdf.py nudge_coords():680 7: 0.338 0.0000000 0.0000000 180 5.77 0.00 0.00 2013-09-11 22:08:43.014336109 INFO 2020-05-30 17:06:16,326Z lrauvNc4ToNetcdf.py nudge_coords():680 8: 0.368 0.0001068 0.0001707 650 9.43 2.36 3.35 2013-09-11 22:18:09.445972919 INFO 2020-05-30 17:06:16,331Z lrauvNc4ToNetcdf.py nudge_coords():680 9: 0.373 0.0002625 0.0004937 901 11.42 5.64 8.01 2013-09-11 22:29:35.457894087 INFO 2020-05-30 17:06:16,336Z lrauvNc4ToNetcdf.py nudge_coords():680 10: 0.367 0.0000737 0.0001637 788 6.15 3.48 4.93 2013-09-11 22:35:44.958764076 INFO 2020-05-30 17:06:16,342Z lrauvNc4ToNetcdf.py nudge_coords():680 11: 0.345 -0.0000022 0.0000169 638 4.85 0.45 0.64 2013-09-11 22:40:37.123044968 INFO 2020-05-30 17:06:16,347Z lrauvNc4ToNetcdf.py nudge_coords():680 12: 0.170 0.0000000 0.0000000 1054 7.43 0.00 0.00 2013-09-11 22:48:03.811285973 INFO 2020-05-30 17:06:16,352Z lrauvNc4ToNetcdf.py nudge_coords():680 13: 0.299 0.0000000 0.0000000 324 6.24 0.00 0.00 2013-09-11 22:54:23.433581114 INFO 2020-05-30 17:06:16,357Z lrauvNc4ToNetcdf.py nudge_coords():680 14: 0.374 0.0000247 0.0000328 263 6.59 0.65 0.92 2013-09-11 23:00:59.131911993 INFO 2020-05-30 17:06:16,362Z lrauvNc4ToNetcdf.py nudge_coords():680 15: 0.438 0.0000000 0.0000000 286 6.73 0.00 0.00 2013-09-11 23:07:44.029695988 INFO 2020-05-30 17:06:16,367Z lrauvNc4ToNetcdf.py nudge_coords():710 17: - - - 73 0.53 - - INFO 2020-05-30 17:06:16,367Z lrauvNc4ToNetcdf.py nudge_coords():714 Points in final series = 12589 DEBUG 2020-05-30 17:06:16,368Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():540 Constructing trackingdb url to 3600 seconds beyond time range of file INFO 2020-05-30 17:06:16,378Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():548 http://odss.mbari.org/trackingdb/position/tethys_ac/between/20130911T195421/20130912T000818/data.csv INFO 2020-05-30 17:06:16,407Z lrauvNc4ToNetcdf.py trackingdb_lat_lon():571 Found 0 position values from the Tracking database INFO 2020-05-30 17:06:16,410Z lrauvNc4ToNetcdf.py processResampleNc4File():1143 ['PAR', 'salinity', 'temperature', 'chlorophyll', 'bbp470', 'bbp650', 'oxygen', 'nitrate', 'latitude', 'longitude', 'depth', 'time'] DEBUG 2020-05-30 17:06:16,412Z lrauvNc4ToNetcdf.py write_netcdf():130 Creating netCDF file /mbari/LRAUV/tethys/missionlogs/2013/20130910_20130914/20130911T205412/201309112054_201309112308_10S_sci.nc DEBUG 2020-05-30 17:06:16,474Z lrauvNc4ToNetcdf.py write_netcdf():155 Adding in record variable time DEBUG 2020-05-30 17:06:16,481Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable PAR DEBUG 2020-05-30 17:06:16,482Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable salinity DEBUG 2020-05-30 17:06:16,483Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable temperature DEBUG 2020-05-30 17:06:16,485Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable chlorophyll DEBUG 2020-05-30 17:06:16,486Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable bbp470 DEBUG 2020-05-30 17:06:16,488Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable bbp650 DEBUG 2020-05-30 17:06:16,489Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable oxygen DEBUG 2020-05-30 17:06:16,490Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable nitrate DEBUG 2020-05-30 17:06:16,496Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable latitude DEBUG 2020-05-30 17:06:16,498Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable longitude DEBUG 2020-05-30 17:06:16,500Z lrauvNc4ToNetcdf.py write_netcdf():167 Adding in record variable depth DEBUG 2020-05-30 17:06:16,502Z lrauvNc4ToNetcdf.py write_netcdf():174 Adding in global metadata INFO 2020-05-30 17:06:16,613Z lrauvNc4ToNetcdf.py processResampleNc4File():1146 Wrote /mbari/LRAUV/tethys/missionlogs/2013/20130910_20130914/20130911T205412/201309112054_201309112308_10S_sci.nc